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    NumPy log() Function Guide

    sparkbyexamples.com/python/how-to-use-numpy-log/

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    Basic Information
    • NumPy log() computes natural logarithm element-wise on arrays
    • Natural logarithm is inverse of numpy.exp()
    • Function returns array of logarithmic values for input x
    Parameters and Return Values
    • Requires input array x as first parameter
    • Optional out parameter specifies output storage location
    • Returns scalar for scalar inputs, real values for real inputs
    • Complex inputs have branch cut [-inf,0]
    Usage Examples
    • Works with 1-D and 2-D NumPy arrays
    • Supports base 2 logarithms with np.log2()
    • Provides base 10 logarithms with np.log10()
    • Can handle multi-dimensional arrays
    Additional Features
    • Logspace() creates evenly spaced values between start and stop
    • Matplot library enables graphical representation
    • Negative numbers return complex values

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